A visualization of a Regret Minimization Learning algorithm for Two Person games, but Avatar themed!

December 2020

Background

This is my submission for a class I was taking in Fall 2020 commonly called 15-251 Great Theoretical Ideas of Computer Science. We got to choose a topic and do really whatever, so I chose to explore the topic of algorithmic game theory. More specifically Regret Minimization. Combined with the iconic rerelease of Avatar the Last Airbender onto Netflix in 2020, I found inspiration to combine the two in this project.

See The Project

View the Github Repo:

lenghuang/ATLA-AGT

View the Live Site

Regret Minimization & Avatar

Skills Used

• Python

• Theoretical Computer Science

• Game Theory

• React

• FlaskAPI

• Charts.js

Thanks for reading!

Curious? Reach out to me at [email protected] and let's chat.

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